research-article

SleepMonitor: Monitoring Respiratory Rate and Body Position During Sleep Using Smartwatch

Authors:

Guohong CaoAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 3

Article No.: 104, Pages 1 - 22

https://doi.org/10.1145/3130969

Published: 11 September 2017 Publication History

Abstract

Respiratory rate and body position are two major physiological parameters in sleep study, and monitoring them during sleep can provide helpful information for health care. In this paper, we present SleepMonitor, a smartwatch based system which leverages the built-in accelerometer to monitor the respiratory rate and body position. To calculate respiratory rate, we design a filter to extract the weak respiratory signal from the noisy accelerometer data collected on the wrist, and use frequency analysis to estimate the respiratory rate from the data along each axis. Further, we design a multi-axis fusion approach which can adaptively adjust the estimates from the three axes and then significantly improve the estimation accuracy. To detect the body position, we apply machine learning techniques based on the features extracted from the accelerometer data. We have implemented our system on Android Wear based smartwatches and evaluated its performance in real experiments. The results show that our system can monitor respiratory rate and body position during sleep with high accuracy under various conditions.

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Cited By

Peruzzi GGalli AGiorgi GPozzebon A(2025)Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure SensorsSensors10.3390/s2502045825:2(458)Online publication date: 14-Jan-2025
https://doi.org/10.3390/s25020458
Elnaggar OPaoletti PHopkinson ACoenen F(2025)Sleep posture analysis: state-of-the-art and opportunities of wearable technologies from clinical, sensing and intelligent perception perspectivesBiomedical Robots and Devices in Healthcare10.1016/B978-0-443-22206-1.00004-8(109-134)Online publication date: 2025
https://doi.org/10.1016/B978-0-443-22206-1.00004-8
Li SJin BWang ZZhang FRen XLiu H(2024)Leveraging Attention-reinforced UWB Signals to Monitor Respiration during SleepACM Transactions on Sensor Networks10.1145/368055020:5(1-28)Online publication date: 26-Aug-2024
https://dl.acm.org/doi/10.1145/3680550
Show More Cited By

Index Terms

SleepMonitor: Monitoring Respiratory Rate and Body Position During Sleep Using Smartwatch
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools
    2. Ubiquitous and mobile devices
      1. Mobile devices

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 3

September 2017

2023 pages

EISSN:2474-9567

DOI:10.1145/3139486

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Copyright © 2017 ACM.

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Association for Computing Machinery

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Publication History

Published: 11 September 2017

Accepted: 01 July 2017

Revised: 01 May 2017

Received: 01 February 2017

Published in IMWUT Volume 1, Issue 3

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Cited By

Peruzzi GGalli AGiorgi GPozzebon A(2025)Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure SensorsSensors10.3390/s2502045825:2(458)Online publication date: 14-Jan-2025
https://doi.org/10.3390/s25020458
Elnaggar OPaoletti PHopkinson ACoenen F(2025)Sleep posture analysis: state-of-the-art and opportunities of wearable technologies from clinical, sensing and intelligent perception perspectivesBiomedical Robots and Devices in Healthcare10.1016/B978-0-443-22206-1.00004-8(109-134)Online publication date: 2025
https://doi.org/10.1016/B978-0-443-22206-1.00004-8
Li SJin BWang ZZhang FRen XLiu H(2024)Leveraging Attention-reinforced UWB Signals to Monitor Respiration during SleepACM Transactions on Sensor Networks10.1145/368055020:5(1-28)Online publication date: 26-Aug-2024
https://dl.acm.org/doi/10.1145/3680550
Wang JZhang DZhang BChen JHu YChen Y(2024)RF-GymCare: Introducing Respiratory Prior for RF Sensing in Gym EnvironmentsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785688:3(1-28)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678568
Xie WXu CGong YWang YLiu YZhang JZhang QZheng ZYang S(2024)DeepBreath: Breathing Exercise Assessment with a Depth CameraProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785198:3(1-26)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678519
Han FYang PFeng YJiang WZhang YLi X(2024)EarSleep: In-ear Acoustic-based Physical and Physiological Activity Recognition for Sleep Stage DetectionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595958:2(1-31)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659595
Adhikari ASur S(2024)MiSleep: Human Sleep Posture Identification from Deep Learning Augmented Millimeter-wave Wireless SystemsACM Transactions on Internet of Things10.1145/36438665:2(1-33)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1145/3643866
Adhikary RSadeh MBatra NGoel M(2024)JoulesEyeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314227:4(1-29)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631422
Jafarzadeh Esfahani MSikder Nter Horst RDaraie AAppel KWeber FBevelander KDresler M(2024)Citizen neuroscience: Wearable technology and open software to study the human brain in its natural habitatEuropean Journal of Neuroscience10.1111/ejn.1622759:5(948-965)Online publication date: 8-Feb-2024
https://doi.org/10.1111/ejn.16227
Bi HZhang WLi SChen YZhou CZhou T(2024)SmartSit: Sitting Posture Recognition Through Acoustic Sensing on SmartphonesIEEE Transactions on Multimedia10.1109/TMM.2024.337576126(8119-8130)Online publication date: 2024
https://doi.org/10.1109/TMM.2024.3375761
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